class_docstr: The result of a job execution. Gives access to the execution time of the job,
  and to all accumulators created by this job.
  
  .. versionadded:: 1.11.0
docstr: Gets all accumulators produced by the job. The map contains the accumulators as
  mappings from the accumulator name to the accumulator value.
  
  :return: The dict which the keys are names of the accumulator and the values
           are values of the accumulator produced by the job.
  
  .. versionadded:: 1.11.0
docstr_tok: ["Gets","all","accumulators","produced","by","the","job",".","The","map","contains","the","accumulators","as","mappings","from","the","accumulator","name","to","the","accumulator","value",".",":","return",":","The","dict","which","the","keys","are","names","of","the","accumulator","and","the","values","are","values","of","the","accumulator","produced","by","the","job",".","..","versionadded",":",":","1.11.0"]
code: def get_all_accumulator_results(self) -> Dict[str, Any]:
      """
      Gets all accumulators produced by the job. The map contains the accumulators as
      mappings from the accumulator name to the accumulator value.
  
      :return: The dict which the keys are names of the accumulator and the values
               are values of the accumulator produced by the job.
  
      .. versionadded:: 1.11.0
      """
      j_result_map = (
          self._j_job_execution_result.getAllAccumulatorResults()
      )
      accumulators = {}
      for key in j_result_map:
          accumulators[key] = j_result_map[key]
      return accumulators
  
file_path: flink/flink-python/pyflink/common/job_execution_result.py
imports: from typing import Dict, Any
  from pyflink.common.job_id import JobID
label_desc: Use image node_id 5 for calling the JobExecutionResult obj's underlying member method code with example usage: obj.get_all_accumulator_results() and returns: accumulators